Discrete Conditional Diffusion for Reranking in Recommendation
Abstract
Supplemental Material
- Download
- 1613.97 MB
- Download
- 4.45 MB
References
Index Terms
- Discrete Conditional Diffusion for Reranking in Recommendation
Recommendations
Diffusion Augmentation for Sequential Recommendation
CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge ManagementSequential recommendation (SRS) has become the technical foundation in many applications recently, which aims to recommend the next item based on the user's historical interactions. However, sequential recommendation often faces the problem of data ...
Multi-Level Interaction Reranking with User Behavior History
SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information RetrievalAs the final stage of the multi-stage recommender system (MRS), reranking directly affects users' experience and satisfaction, thus playing a critical role in MRS. Despite the improvement achieved in the existing work, three issues are yet to be solved. ...
Comments
Information & Contributors
Information
Published In
- General Chairs:
- Tat-Seng Chua,
- Chong-Wah Ngo,
- Program Chairs:
- Ravi Kumar,
- Hady W. Lauw,
- Roy Ka-Wei Lee
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 108Total Downloads
- Downloads (Last 12 months)108
- Downloads (Last 6 weeks)23
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in